Predictive modeling of dental pain using neural network

Eun Yeob Kim, Kun Ok Lim, Hyun Sill Rhee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The mouth is a part of the body for ingesting food that is the most basic foundation and important part. The dental pain predicted by the neural network model. As a result of making a predictive modeling, the fitness of the predictive modeling of dental pain factors was 80.0%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment

Original languageEnglish
Title of host publicationConnecting Health and Humans - Proceedings of NI2009
Subtitle of host publicationThe 10th International Congress on Nursing Informatics
PublisherIOS Press
Pages745-746
Number of pages2
ISBN (Print)9781607500247
DOIs
Publication statusPublished - 2009
Event10th International Congress on Nursing Informatics: Connecting Health and Humans, NI2009 - Helsinki, Finland
Duration: 2009 Jun 282009 Jul 1

Publication series

NameStudies in Health Technology and Informatics
Volume146
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other10th International Congress on Nursing Informatics: Connecting Health and Humans, NI2009
CountryFinland
CityHelsinki
Period09/6/2809/7/1

Keywords

  • Dental pain
  • Neural network
  • Oral health

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Kim, E. Y., Lim, K. O., & Rhee, H. S. (2009). Predictive modeling of dental pain using neural network. In Connecting Health and Humans - Proceedings of NI2009: The 10th International Congress on Nursing Informatics (pp. 745-746). (Studies in Health Technology and Informatics; Vol. 146). IOS Press. https://doi.org/10.3233/978-1-60750-024-7-745